Liam Cattell
Liam Cattell
Department of Biomedical Engineering, University of Virginia
Verified email at virginia.edu
Title
Cited by
Cited by
Year
De-multiplexing vortex modes in optical communications using transport-based pattern recognition
SR Park, L Cattell, JM Nichols, A Watnik, T Doster, GK Rohde
Optics Express 26 (4), 4004-4022, 2018
372018
Classification of amyloid status using machine learning with histograms of oriented 3D gradients
L Cattell, G Platsch, R Pfeiffer, J Declerck, JA Schnabel, C Hutton, ...
NeuroImage: Clinical 12, 990-1003, 2016
182016
An optimal transport model for imaging in atmospheric turbulence
JM Nichols, AT Watnik, T Doster, S Park, A Kanaev, L Cattell, GK Rohde
arXiv preprint arXiv:1705.01050, 2017
132017
Transport-based model for turbulence-corrupted imagery
JM Nichols, TH Emerson, L Cattell, S Park, A Kanaev, F Bucholtz, ...
Applied optics 57 (16), 4524-4536, 2018
102018
Combined PET-MR brain registration to discriminate between Alzheimer’s disease and healthy controls
L Cattell, JA Schnabel, J Declerck, C Hutton
International Workshop on Biomedical Image Registration, 134-143, 2014
62014
Reconstructing high-resolution cardiac MR movies from under-sampled frames
L Cattell, CH Meyer, FH Epstein, GK Rohde
2017 51st Asilomar Conference on Signals, Systems, and Computers, 1255-1259, 2017
22017
Investigation of Single-Versus Joint-Modality PET-MR Registration for 18F-Florbetapir Quantification: Application to Alzheimer’s Disease
L Cattell, JA Schnabel, J Declerck, C Hutton
Computational Methods for Molecular Imaging, 197-205, 2015
12015
Training classifiers with limited data using the Radon cumulative distribution transform
CE Fitzgerald, L Cattell, GK Rohde
Medical Imaging 2018: Image Processing 10574, 105742P, 2018
2018
Transport-Based Pattern Theory: A Signal Transformation Approach
L Cattell, GK Rohde
arXiv preprint arXiv:1802.07163, 2018
2018
Registration and machine learning methods for brain imaging of Alzheimer's disease
L Cattell
University of Oxford, 2016
2016
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